Deep learning and generative artificial intelligence methods in enzyme and cell engineering

IF 7.8 2区 工程技术 Q1 BIOCHEMICAL RESEARCH METHODS
Current opinion in biotechnology Pub Date : 2026-02-01 Epub Date: 2025-12-04 DOI:10.1016/j.copbio.2025.103393
Steffen Docter , Benoit David , Holger Gohlke
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引用次数: 0

Abstract

Efficient enzymes and microbial factories are essential to promote the transition toward a sustainable bioeconomy. This review focuses on the progress of artificial intelligence (AI) methods in accelerating the development of optimized biocatalysts and genetic networks in cells. Recent advances in AI in the field of enzyme discovery, engineering, and de novo design are discussed. Additionally, we highlight examples of successful applications of AI in optimizing different components in cells, from gene expression regulation to metabolic pathway optimization and design. Finally, this review emphasizes the challenges limiting the reliability and generalizability of current AI methods.
酶和细胞工程中的深度学习和生成式人工智能方法。
高效的酶和微生物工厂对于促进向可持续生物经济的过渡至关重要。本文综述了人工智能(AI)方法在加速优化生物催化剂和细胞遗传网络开发方面的进展。讨论了人工智能在酶发现、工程和从头设计领域的最新进展。此外,我们还重点介绍了人工智能在优化细胞中不同成分方面的成功应用,从基因表达调控到代谢途径优化和设计。最后,本综述强调了限制当前人工智能方法可靠性和通用性的挑战。
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来源期刊
Current opinion in biotechnology
Current opinion in biotechnology 工程技术-生化研究方法
CiteScore
16.20
自引率
2.60%
发文量
226
审稿时长
4-8 weeks
期刊介绍: Current Opinion in Biotechnology (COBIOT) is renowned for publishing authoritative, comprehensive, and systematic reviews. By offering clear and readable syntheses of current advances in biotechnology, COBIOT assists specialists in staying updated on the latest developments in the field. Expert authors annotate the most noteworthy papers from the vast array of information available today, providing readers with valuable insights and saving them time. As part of the Current Opinion and Research (CO+RE) suite of journals, COBIOT is accompanied by the open-access primary research journal, Current Research in Biotechnology (CRBIOT). Leveraging the editorial excellence, high impact, and global reach of the Current Opinion legacy, CO+RE journals ensure they are widely read resources integral to scientists' workflows. COBIOT is organized into themed sections, each reviewed once a year. These themes cover various areas of biotechnology, including analytical biotechnology, plant biotechnology, food biotechnology, energy biotechnology, environmental biotechnology, systems biology, nanobiotechnology, tissue, cell, and pathway engineering, chemical biotechnology, and pharmaceutical biotechnology.
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